Commentary: Using QbTest for monitoring pharmacological treatment response in ADHD – are we there yet? DOI Creative Commons
Alessio Bellato, Valeria Parlatini, Madeleine J. Groom

et al.

Journal of Child Psychology and Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 8, 2024

Individuals with attention-deficit/hyperactivity disorder (ADHD) exhibit varied responses to pharmacological treatments (e.g. stimulants and non-stimulants). Accurately promptly detecting treatment-related improvements, response failure, or deterioration poses significant challenges, as current monitoring primarily relies on subjective ratings. In this commentary, we critically evaluate the evidence supporting use of QbTest for objectively ADHD treatment in clinical practice. We also offer recommendations future research, advocating rigorous trials longitudinal studies further explore potential utilisation other tools individuals ADHD.

Language: Английский

Single–dose methylphenidate induces shift in functional connectivity associated with positive longer term clinical response in adult attention–deficit/hyperactivity disorder DOI Creative Commons
Charlotte M. Pretzsch, Valeria Parlatini, Declan Murphy

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 17, 2025

Language: Английский

Citations

0
Neural basis for individual differences in the attention-enhancing effects of methylphenidate DOI Creative Commons
Peter Manza, Dardo Tomasi, Şükrü Barış Demiral

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(13)

Published: March 24, 2025

Stimulant drugs that boost dopamine, like methylphenidate (MP), enhance attention and are effective treatments for attention-deficit hyperactivity disorder (ADHD). Yet there is large individual variation in attentional capacity response to MP. It unclear whether this driven by differences relative density of dopamine receptor subtypes, magnitude increases induced MP, or both. Here, we extensively characterized the brain system with positron emission tomography (PET) imaging (including striatal D1 D2/3 availability MP-induced increases) measured task-evoked fMRI activity two separate sessions (placebo 60 mg oral MP; single-blind, counterbalanced) 37 healthy adults. A network lateral frontoparietal visual cortices was sensitive increasing (and working memory) load, whose positively correlated performance across individuals (partial r = 0.474, P 0.008; controlling age). change within 0.686, < 0.001). The ratio D1-to-D2/3 receptors dorsomedial caudate baseline negatively changes (all pFWE 0.02). load mediated association between improvements (mediation estimate 23.20 [95%CI: -153.67 -81.79], 0.004). MP attention-boosting effects were not linked increases, but rather showed dependence on an individual's density. Individuals lower ratios tended have during sustained experienced greater improvement function task

Language: Английский

Citations

0
Evaluating predictive artificial intelligence approaches used in mobile health platforms to forecast mental health symptoms among youth: a systematic review DOI Creative Commons
Jamin Patel,

Chih-Ching Hung,

Tarun Reddy Katapally

et al.

Psychiatry Research, Journal Year: 2024, Volume and Issue: 343, P. 116277 - 116277

Published: Nov. 19, 2024

The youth mental health crisis is exacerbated by limited access to care and resources. Mobile (mHealth) platforms using predictive artificial intelligence (AI) can improve reduce barriers, enabling real-time responses precision prevention. This systematic review evaluates AI approaches in mHealth for forecasting symptoms among (13-25 years). We searched studies from Embase, PubMed, Web of Science, PsycInfo, CENTRAL, identify relevant studies. From 11 identified, three predicted multiple symptoms, with depression being the most common (63%). Most used smartphones 25% integrated wearables. Key predictors included smartphone usage (N=5), sleep metrics (N=6), physical activity (N=5). Nuanced like locations stages improved prediction. Logistic regression was followed Support Vector Machines (N=3) ensemble methods (N=4). F-scores anxiety ranged 0.73 0.84, AUCs 0.50 0.74. Stress models had 0.68 0.83. Bayesian model selection Shapley values enhanced robustness interpretability. Barriers small sample sizes, privacy concerns, missing data, underrepresentation bias. Rigorous evaluation performance, generalizability, user engagement critical before are into psychiatric care.

Language: Английский

Citations

3
Electronic Health Records for Research on Attention-Deficit/Hyperactivity Disorder Pharmacotherapy: A Comprehensive Review DOI

Sulagna Roy,

Lucrezia Arturi, Valeria Parlatini

et al.

Journal of Child and Adolescent Psychopharmacology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 5, 2024

Randomized controlled trials (RCTs) have shown that attention-deficit/hyperactivity disorder (ADHD) medications significantly reduce symptomatology at a group level, but individual response to ADHD medication is variable. Thus, developing prediction models stratify treatment according baseline clinicodemographic characteristics crucial support clinical practice. A potential valuable source of data develop accurate real-world extracted from electronic healthcare records (EHRs). Yet, systematic information regarding EHR on lacking.

Language: Английский

Citations

2
The long road to precision pediatric sleep medicine DOI
Samuele Cortese

Sleep Medicine Reviews, Journal Year: 2024, Volume and Issue: 76, P. 101971 - 101971

Published: June 19, 2024

Language: Английский

Citations

0
Global research progress of electroencephalography applications in attention deficit hyperactivity disorder: Bibliometrics and visualized analysis DOI Creative Commons

Ben Liu,

Xian Liu,

Jie Wei

et al.

Medicine, Journal Year: 2024, Volume and Issue: 103(38), P. e39668 - e39668

Published: Sept. 20, 2024

Attention deficit hyperactivity disorder (ADHD) is a profound neurodevelopmental disorder. Currently, the diagnosis of ADHD relies on clinical assessments and lacks objective testing. Research in electroencephalography (EEG) offers new hope for ADHD, with researchers actively seeking EEG biomarkers. This study conducts bibliometric analysis application aiming to provide brief overview characteristics, main research areas, development paths, trends this field. The Web Science Core Collection was queried June 10, 2024, gather relevant scholarly works from period 2004 2023. Analysis conducted using CiteSpace, VOSviewer, Microsoft Excel 2019. In past 20 years, 1162 documents qualified, swift rise annual publications. USA, University London, Barry RJ led productivity impact, while Clinical Neurophysiology topped publication volume citations. High-frequency terms include "ADHD," "EEG," "event-related potentials (ERP)," "children," "neurofeedback." Clustering key such as "cognitive control," "theta waves," "epilepsy," "graph theory," "machine learning," "neurofeedback" form cornerstone current core areas. At same time, series emerging frontiers are gradually emerging, including "theta/beta ratio (TBR)," "P300 wave," "neurofeedback," "deep learning." Over 2 decades, has been burgeoning, themes becoming increasingly profound. These insights guidance trends, trajectories, future challenges

Language: Английский

Citations

0
Commentary: Using QbTest for monitoring pharmacological treatment response in ADHD – are we there yet? DOI Creative Commons
Alessio Bellato, Valeria Parlatini, Madeleine J. Groom

et al.

Journal of Child Psychology and Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 8, 2024

Individuals with attention-deficit/hyperactivity disorder (ADHD) exhibit varied responses to pharmacological treatments (e.g. stimulants and non-stimulants). Accurately promptly detecting treatment-related improvements, response failure, or deterioration poses significant challenges, as current monitoring primarily relies on subjective ratings. In this commentary, we critically evaluate the evidence supporting use of QbTest for objectively ADHD treatment in clinical practice. We also offer recommendations future research, advocating rigorous trials longitudinal studies further explore potential utilisation other tools individuals ADHD.

Language: Английский

Citations

0